Automatic Speech Recognition
Transformers
PyTorch
Thai
wav2vec2
audio
hf-asr-leaderboard
robust-speech-event
speech
xlsr-fine-tuning
Eval Results (legacy)
Instructions to use airesearch/wav2vec2-large-xlsr-53-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airesearch/wav2vec2-large-xlsr-53-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="airesearch/wav2vec2-large-xlsr-53-th")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("airesearch/wav2vec2-large-xlsr-53-th") model = AutoModelForCTC.from_pretrained("airesearch/wav2vec2-large-xlsr-53-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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@@ -121,13 +121,13 @@ We benchmark on the test set using WER with words tokenized by [PyThaiNLP](https
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| | WER PyThaiNLP 2.3.1 | WER deepcut | CER |
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| [Kaldi from scratch](https://github.com/vistec-AI/commonvoice-th) |
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| Ours without spell correction |
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| Ours with spell correction |
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| Google Web Speech API※ |
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| Microsoft Bing Speech API※ | **
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| Amazon Transcribe※ |
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| NECTEC AI for Thai Partii API※ |
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※ APIs are not finetuned with Common Voice 7.0 data
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| | WER PyThaiNLP 2.3.1 | WER deepcut | CER |
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| [Kaldi from scratch](https://github.com/vistec-AI/commonvoice-th) | 23.04 | | 7.57 |
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| Ours without spell correction | 13.634024 | **8.152052** | **2.813019** |
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| Ours with spell correction | 17.996397 | 14.167975 | 5.225761 |
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| Google Web Speech API※ | 13.711234 | 10.860058 | 7.357340 |
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| Microsoft Bing Speech API※ | **12.578819** | 9.620991 | 5.016620 |
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| Amazon Transcribe※ | 21.86334 | 14.487553 | 7.077562 |
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| NECTEC AI for Thai Partii API※ | 20.105887 | 15.515631 | 9.551027 |
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※ APIs are not finetuned with Common Voice 7.0 data
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